Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees.
Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity.
"synopsis" may belong to another edition of this title.
Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees.
Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity.
Key Features
"About this title" may belong to another edition of this title.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 140 Illus. Seller Inventory # 7453133
Quantity: 1 available
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand. Seller Inventory # 842794061268f3be1d2f205ac6c731c2
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 5409739
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In English. Seller Inventory # ria9780387749440_new
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 5409739-n
Quantity: Over 20 available
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing subop. Seller Inventory # 5910928
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 5409739
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 5409739-n
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. pp. 140. Seller Inventory # 26394770
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees. Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity.Key FeaturesWith theoretical derivations, practical algorithms, and complexity analysis this book makes an accessible reference for researchers and industry practioners alikeAll the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms quite easily in the software of their choiceThe results of each section of the book are based on the 3GPP-LTE standard - a fourth generation cellular standard of timely importancePresents chapter on the least complex algorithms that still achieve stochastically optimal results without the need for channel distribution informationThe section on future work presents several relevant avenues for further investigation of interest to researchers in the field Seller Inventory # 3988383/1